Matches in SemOpenAlex for { <https://semopenalex.org/work/W2061169295> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2061169295 endingPage "5898" @default.
- W2061169295 startingPage "5888" @default.
- W2061169295 abstract "In signal processing, data analysis and scientific computing, one often encounters the problem of decomposing a tensor into a sum of contributions. To solve such problems, both the search direction and the step size are two crucial elements in numerical algorithms, such as alternating least squares algorithm (ALS). Owing to the nonlinearity of the problem, the often used linear search direction is not always powerful enough. In this paper, we propose two higher-order search directions. The first one, geometric search direction, is constructed via a combination of two successive linear directions. The second one, algebraic search direction, is constructed via a quadratic approximation of three successive iterates. Then, in an enhanced line search along these directions, the optimal complex step size contains two arguments: modulus and phase. A current strategy is ELSCS that finds these two arguments alternately. So it may suffer from a local optimum. We broach a direct method, which determines these two arguments simultaneously, so as to obtain the global optimum. Finally, numerical comparisons on various search direction and step size schemes are reported in the context of blind separation-equalization of convolutive DS-CDMA mixtures. The results show that the new search directions have greatly improve the efficiency of ALS and the new step size strategy is competitive." @default.
- W2061169295 created "2016-06-24" @default.
- W2061169295 creator A5006977467 @default.
- W2061169295 creator A5011886900 @default.
- W2061169295 creator A5054048290 @default.
- W2061169295 date "2011-12-01" @default.
- W2061169295 modified "2023-09-23" @default.
- W2061169295 title "New ALS Methods With Extrapolating Search Directions and Optimal Step Size for Complex-Valued Tensor Decompositions" @default.
- W2061169295 cites W1989881099 @default.
- W2061169295 cites W1998124716 @default.
- W2061169295 cites W2000045479 @default.
- W2061169295 cites W2000215628 @default.
- W2061169295 cites W2024165284 @default.
- W2061169295 cites W2025603201 @default.
- W2061169295 cites W2035146430 @default.
- W2061169295 cites W2044777402 @default.
- W2061169295 cites W2054032793 @default.
- W2061169295 cites W2061175353 @default.
- W2061169295 cites W2071729267 @default.
- W2061169295 cites W2075427932 @default.
- W2061169295 cites W2086527157 @default.
- W2061169295 cites W2121757456 @default.
- W2061169295 cites W2136023375 @default.
- W2061169295 cites W2140862024 @default.
- W2061169295 cites W2142556858 @default.
- W2061169295 cites W2156982859 @default.
- W2061169295 cites W2204118584 @default.
- W2061169295 cites W2258054274 @default.
- W2061169295 cites W2330159389 @default.
- W2061169295 cites W2490308495 @default.
- W2061169295 cites W4292096448 @default.
- W2061169295 doi "https://doi.org/10.1109/tsp.2011.2164911" @default.
- W2061169295 hasPublicationYear "2011" @default.
- W2061169295 type Work @default.
- W2061169295 sameAs 2061169295 @default.
- W2061169295 citedByCount "45" @default.
- W2061169295 countsByYear W20611692952012 @default.
- W2061169295 countsByYear W20611692952013 @default.
- W2061169295 countsByYear W20611692952014 @default.
- W2061169295 countsByYear W20611692952015 @default.
- W2061169295 countsByYear W20611692952016 @default.
- W2061169295 countsByYear W20611692952017 @default.
- W2061169295 countsByYear W20611692952018 @default.
- W2061169295 countsByYear W20611692952019 @default.
- W2061169295 countsByYear W20611692952020 @default.
- W2061169295 countsByYear W20611692952021 @default.
- W2061169295 countsByYear W20611692952022 @default.
- W2061169295 countsByYear W20611692952023 @default.
- W2061169295 crossrefType "journal-article" @default.
- W2061169295 hasAuthorship W2061169295A5006977467 @default.
- W2061169295 hasAuthorship W2061169295A5011886900 @default.
- W2061169295 hasAuthorship W2061169295A5054048290 @default.
- W2061169295 hasBestOaLocation W20611692952 @default.
- W2061169295 hasConcept C104267543 @default.
- W2061169295 hasConcept C11413529 @default.
- W2061169295 hasConcept C126255220 @default.
- W2061169295 hasConcept C155281189 @default.
- W2061169295 hasConcept C2524010 @default.
- W2061169295 hasConcept C33923547 @default.
- W2061169295 hasConcept C41008148 @default.
- W2061169295 hasConcept C554190296 @default.
- W2061169295 hasConcept C76155785 @default.
- W2061169295 hasConceptScore W2061169295C104267543 @default.
- W2061169295 hasConceptScore W2061169295C11413529 @default.
- W2061169295 hasConceptScore W2061169295C126255220 @default.
- W2061169295 hasConceptScore W2061169295C155281189 @default.
- W2061169295 hasConceptScore W2061169295C2524010 @default.
- W2061169295 hasConceptScore W2061169295C33923547 @default.
- W2061169295 hasConceptScore W2061169295C41008148 @default.
- W2061169295 hasConceptScore W2061169295C554190296 @default.
- W2061169295 hasConceptScore W2061169295C76155785 @default.
- W2061169295 hasIssue "12" @default.
- W2061169295 hasLocation W20611692951 @default.
- W2061169295 hasLocation W20611692952 @default.
- W2061169295 hasOpenAccess W2061169295 @default.
- W2061169295 hasPrimaryLocation W20611692951 @default.
- W2061169295 hasRelatedWork W2073320239 @default.
- W2061169295 hasRelatedWork W2333698505 @default.
- W2061169295 hasRelatedWork W2334965593 @default.
- W2061169295 hasRelatedWork W2351491280 @default.
- W2061169295 hasRelatedWork W2371447506 @default.
- W2061169295 hasRelatedWork W2386767533 @default.
- W2061169295 hasRelatedWork W2889453578 @default.
- W2061169295 hasRelatedWork W2963124547 @default.
- W2061169295 hasRelatedWork W303980170 @default.
- W2061169295 hasRelatedWork W3141679561 @default.
- W2061169295 hasVolume "59" @default.
- W2061169295 isParatext "false" @default.
- W2061169295 isRetracted "false" @default.
- W2061169295 magId "2061169295" @default.
- W2061169295 workType "article" @default.